Bjoern Menze
28 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Conference Polyglot (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (5)
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Cross-Pollinator
(5)
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Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(34)
π₯
Mega-Team
(125)
π€
Dynamic Duo
(11)
β‘
Prolific Year
(5)
π
Conference Pioneer
ποΈ
Keyword Collector
(87)
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Century Club
(27)
π₯
Unstoppable
(6)
β
The Questioner
Conferences
MIDL (9)
MICCAI (7)
CVPR (3)
ECCV (3)
ICCV (2)
WACV (2)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
medical imaging
(5)
image segmentation
(3)
generative adversarial network
(2)
domain adaptation
(2)
data augmentation
(2)
vision transformer
(1)
link prediction
(1)
contrastive learning
(1)
medical image classification
(1)
feature selection
(1)
self-supervised learning
(1)
image generation
(1)
attention mechanism
(1)
neural architecture search
(1)
image synthesis
(1)
multi-task learning
(1)
medical image segmentation
(1)
deep learning
(1)
zero-shot learning
(1)
representation learning
(1)
Papers
Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT
MIDL 2026
Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction
MICCAI 2025
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
CVPR 2025
RadGPT: Constructing 3D Image-Text Tumor Datasets
ICCV 2025
Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
MICCAI 2025
VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation
MICCAI 2025
GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes
ECCV 2024
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
NIPS 2024
Link Prediction for Flow-Driven Spatial Networks
WACV 2024
VariViT: A Vision Transformer for Variable Image Sizes
MIDL 2024
MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models
MIDL 2024
Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation
MIDL 2024
3D Vessel Graph Generation Using Denoising Diffusion
MICCAI 2024
CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging
MICCAI 2024
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels
MICCAI 2024
Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
MICCAI 2024
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations
MIDL 2023
Why Is the Winner the Best?
CVPR 2023
Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes
ICML 2023
Vesselformer: Towards Complete 3D Vessel Graph Generation from Images
MIDL 2023
Relationformer: A Unified Framework for Image-to-Graph Generation
ECCV 2022
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy
WACV 2022
Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions
MIDL 2022
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features
MIDL 2021
Pyramid Architecture Search for Real-Time Image Deblurring
ICCV 2021
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
MIDL 2020
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution
CVPR 2020
Face Super-Resolution Guided by 3D Facial Priors
ECCV 2020